MacBook Air (Late 2020)
Geekbench AI Score
536
Single Precision Score
5455
Half Precision Score
4263
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 02:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 1.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
2844
528.9 IPS |
|
|
Image Classification (Q)
|
96% |
2522
470.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
27205
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25939
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
99% |
2892
230.1 IPS |
|
|
Object Detection (Q)
|
93% |
2705
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
5580
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
19562
150.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21531
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2737
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
52010
66.9 IPS |
|
|
Style Transfer (Q)
|
96% |
50180
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
784
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8308
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9420
347.8 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.4 IPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2303
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (Q)
|
98% |
630
10.9 IPS |
